Staff+ Software Engineer, Experimentation
Anthropic- Compensation
- $405k–$485k Published range · Top quartile for Engineering (597 listings)
- Location
- Hybrid - San Francisco, CA or Seattle, WA, 25% in office Remote eligibility
- Employment
- Full-time Staff / Principal
About the job
Anthropic's Infrastructure organization is foundational to our mission of developing AI systems that are reliable, interpretable, and steerable. Developer Productivity owns the end-to-end experience of how engineers and researchers at Anthropic develop, build, test, and ship code at scale. This role focuses on the configuration and experimentation systems that let teams safely roll out changes, run controlled experiments, and make data-driven decisions across our products and infrastructure — from feature flagging and dynamic configuration to A/B testing platforms that support both research and production workloads.
Responsibilities
- Own the technical strategy and roadmap for config and experimentation infrastructure.
- Maintain and enhance the architecture for feature flagging, dynamic configuration, and experimentation systems.
- Design and build scalable, reliable distributed infrastructure and shared libraries for high-volume experimentation and config workloads.
- Own and evolve platforms and tooling for safe config changes and experiments.
- Define standards, tooling, and frameworks for experimentation and configuration management.
Qualifications
- Deep experience with configuration management, feature flagging, and/or experimentation platforms in a large-scale environment.
- Strong proficiency in Python, Rust and/or Go.
- Experience with container orchestration and infrastructure at scale.
- Excellent communication skills.
- 15+ years (not including internships or co-ops) of experience in a Software Engineer role, building and operating large-scale developer infrastructure.
- 3+ years of experience leading large scale, complex projects or teams as an engineer or tech lead.
- Experience with config or experimentation platforms such as Statsig, GrowthBook, LaunchDarkly, Optimizely, Unleash, or similar.
- Experience designing experimentation frameworks — randomization, assignment, metrics pipelines, and statistical analysis for A/B testing at scale.
- Experience with dynamic configuration systems and safe rollout mechanisms.
- Experience building CLI tools, developer-facing services, and APIs/automation workflows that integrate config and experimentation into existing CI/CD pipelines.
Compensation: Annual Salary: $405,000—$485,000 USD.
Benefits: Competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space.
Skills & tags
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